Velvt vs WBX Sandbox
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Velvt compared with WBX Sandbox
| Detail | V
Velvt | WS
WBX Sandbox |
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| What it does | Assurance, research and network for autonomous AI agents
| Secure execution for AI agents in isolated Firecracker microVMs or WebAssembly
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
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| Pricing | Not given
| Free plan: no card required, 5 concurrent sandboxes, up to 1 hour per sandbox, one-time welcome credit. Pro: $49.00/month (excl. VAT) with $25.00 usage credit, 25 concurrent sandboxes, up to 24 hours per sandbox, 100 vCPU/100 GB RAM total. Team: $119.00/month (excl. VAT) with $50.00 usage credit, 10
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| Key features | - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
| - Isolated Firecracker microVMs with own kernel and filesystem
- Background jobs that survive disconnects
- Batch execution with up to 1,000 jobs and dependency passing
- WebAssembly jobs starting in milliseconds without VM boot
- Budget Guard with cost reserves and limits
- Execution receipts with runtime, isolation, resources and file hashes
- Native MCP server integration for ChatGPT and Claude
- Compact log digests instead of full 5,000-line logs
- Server-side job waiting with signed webhooks
- Verified package cache for PyPI, npm, Go and Rust
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| What makes it different | - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
| - Two runtimes with honest isolation labeling
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 24 | 0 |
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| Referring domains (Majestic) | 37 | 0 |
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3 details filled in for both companies.
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